TY - GEN
T1 - Agent-Based Modelling of Stem Cell Self-organisation in a Niche
AU - D'Inverno, Mark
AU - Saunders, Rob
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2005.
PY - 2005/5/18
Y1 - 2005/5/18
N2 - It is our belief that modelling the behaviour of stem cells in the adult
human body as an agent-based system is the most appropriate way of
understanding the process of self-organisation. We have undertaken
several case studies where formal and/or computational models of stem
cell systems, have been re-developed using an agent-based approach. This
paper presents details of one of these case studies where we have used
an agent-based approach as opposed to a cellular automata approach. A
formalisation of the non-agent and agent-based approach is given, and
from the results of this investigation, we aim to demonstrate the
advantages of the agent-based approach for developing biologically
plausible models with emergent self-organising dynamics. The aim of this
paper first to discuss the importance of modelling and simulating stem
cells, because of certain experimental limitations, but also to
demonstrate that the multi-agent approach to modelling is the most
appropriate.
AB - It is our belief that modelling the behaviour of stem cells in the adult
human body as an agent-based system is the most appropriate way of
understanding the process of self-organisation. We have undertaken
several case studies where formal and/or computational models of stem
cell systems, have been re-developed using an agent-based approach. This
paper presents details of one of these case studies where we have used
an agent-based approach as opposed to a cellular automata approach. A
formalisation of the non-agent and agent-based approach is given, and
from the results of this investigation, we aim to demonstrate the
advantages of the agent-based approach for developing biologically
plausible models with emergent self-organising dynamics. The aim of this
paper first to discuss the importance of modelling and simulating stem
cells, because of certain experimental limitations, but also to
demonstrate that the multi-agent approach to modelling is the most
appropriate.
UR - http://www.scopus.com/inward/record.url?scp=56749152800&partnerID=8YFLogxK
U2 - 10.1007/11494676_4
DO - 10.1007/11494676_4
M3 - Conference proceeding
AN - SCOPUS:56749152800
SN - 354026180X
SN - 9783540261803
T3 - Lecture Notes in Computer Science
SP - 52
EP - 68
BT - Engineering Self-Organising Systems
A2 - Brueckner, Sven A.
A2 - Di Marzo Serugendo, Giovanna
A2 - Karageorgos, Anthony
A2 - Nagpal, Radhika
PB - Springer
CY - Berlin
T2 - International Workshop on Engineering Self-Organising Applications, ESOA 2004
Y2 - 20 July 2004 through 20 July 2004
ER -